Instructions to use peterbonnesoeur/Visual_transformer_chihuahua_cookies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterbonnesoeur/Visual_transformer_chihuahua_cookies with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="peterbonnesoeur/Visual_transformer_chihuahua_cookies") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("peterbonnesoeur/Visual_transformer_chihuahua_cookies") model = AutoModelForImageClassification.from_pretrained("peterbonnesoeur/Visual_transformer_chihuahua_cookies", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Visual_transformer_chihuahua_cookies
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
chihuahua
cookies
corgi
samoyed
shiba inu
- Downloads last month
- 5
Evaluation results
- Accuracyself-reported0.938




